Evidence map›Paper›PMID 32572103›Full record

ArticleScientific reports2020

A new safety index based on intrapulse monitoring of ultra-harmonic cavitation during ultrasound-induced blood-brain barrier opening procedures.

A Novell, H A S Kamimura, A Cafarelli, M Gerstenmayer, J Flament, J Valette, P Agou, A Conti, E Selingue, R Aron Badin and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

A Novell *Université Paris-Saclay, CEA, CNRS, Baobab, NeuroSpin, Gif-sur-Yvette, 91191, France.
H A S Kamimura *Université Paris-Saclay, CEA, CNRS, Baobab, NeuroSpin, Gif-sur-Yvette, 91191, France.ORCID http://orcid.org/0000-0001-5846-9870
A CafarelliUniversité Paris-Saclay, CEA, CNRS, Baobab, NeuroSpin, Gif-sur-Yvette, 91191, France.
M GerstenmayerUniversité Paris-Saclay, CEA, CNRS, Baobab, NeuroSpin, Gif-sur-Yvette, 91191, France.
J FlamentUniversité Paris-Saclay, CEA, CNRS, Neurodegenerative Diseases Laboratory, Molecular Imaging Research Center (MIRCen), Fontenay-aux-Roses, 92265, France.
J ValetteUniversité Paris-Saclay, CEA, CNRS, Neurodegenerative Diseases Laboratory, Molecular Imaging Research Center (MIRCen), Fontenay-aux-Roses, 92265, France.
P AgouUniversité Paris-Saclay, CEA, CNRS, Baobab, NeuroSpin, Gif-sur-Yvette, 91191, France.
A ContiUniversité Paris-Saclay, CEA, CNRS, Baobab, NeuroSpin, Gif-sur-Yvette, 91191, France.
E SelingueUniversité Paris-Saclay, CEA, CNRS, Baobab, NeuroSpin, Gif-sur-Yvette, 91191, France.
R Aron BadinUniversité Paris-Saclay, CEA, CNRS, Neurodegenerative Diseases Laboratory, Molecular Imaging Research Center (MIRCen), Fontenay-aux-Roses, 92265, France.ORCID http://orcid.org/0000-0003-0543-5110
P HantrayeUniversité Paris-Saclay, CEA, CNRS, Neurodegenerative Diseases Laboratory, Molecular Imaging Research Center (MIRCen), Fontenay-aux-Roses, 92265, France.
B LarratUniversité Paris-Saclay, CEA, CNRS, Baobab, NeuroSpin, Gif-sur-Yvette, 91191, France. benoit.larrat@cea.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound-induced blood-brain barrier (BBB) opening using microbubbles is a promising technique for local delivery of therapeutic molecules into the brain. The real-time control of the ultrasound dose delivered through the skull is necessary as the range of pressure for efficient and safe BBB opening is very narrow. Passive cavitation detection (PCD) is a method proposed to monitor the microbubble activity during ultrasound exposure. However, there is still no consensus on a reliable safety indicator able to predict potential damage in the brain. Current approaches for the control of the beam intensity based on PCD employ a full-pulse analysis and may suffer from a lack of sensitivity and poor reaction time. To overcome these limitations, we propose an intra-pulse analysis to monitor the evolution of the frequency content during ultrasound bursts. We hypothesized that the destabilization of microbubbles exposed to a critical level of ultrasound would result in the instantaneous generation of subharmonic and ultra-harmonic components. This specific signature was exploited to define a new sensitive indicator of the safety of the ultrasound protocol. The approach was validated in vivo in rats and non-human primates using a retrospective analysis. Our results demonstrate that intra-pulse monitoring was able to exhibit a sudden appearance of ultra-harmonics during the ultrasound excitation pulse. The repeated detection of such a signature within the excitation pulse was highly correlated with the occurrence of side effects such as hemorrhage and edema. Keeping the acoustic pressure at levels where no such sign of microbubble destabilization occurred resulted in safe BBB openings, as shown by MR images and gross pathology. This new indicator should be more sensitive than conventional full-pulse analysis and can be used to distinguish between potentially harmful and safe ultrasound conditions in the brain with very short reaction time.

Indexed as

AcousticsAnimalsBlood-Brain BarrierBrainMacaca fascicularisMaleMicrobubblesPrimatesRatsRats, Sprague-DawleyRetrospective StudiesSonicationUltrasonic TherapyUltrasonography

Identifiers

PMID32572103
PMCPMC7308405

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.